Browse Topic: Embedded software
ABSTRACT
As embedded electronic control systems are increasingly penetrating vehicle subsystems, the designers are faced with a dilemma of providing state of art vehicle features on one hand and ensuring frugal implementation of the same to meet competitive pressures on the other. For embedded software and hardware systems this means adoption of judicious and innovative design choices with reusable building blocks. This paper dwells upon various design aspects of control and monitoring which are frequently used for automotive applications such as feed-forward and proportional integral control, diagnostics for sensor boundary conditions, handling of intermittent faults without causing nuisance to the vehicle users etc.
This paper explains why software for efficient model-based development is needed to improve the efficiency of automakers and suppliers when implementing solutions with next generation automotive embedded systems. The resulting synergies are an important contribution for the automotive industry to develop safer, smarter, and more eco-friendly cars. To achieve this, it requires implementations of algorithms for machine learning, deep learning and model predictive control within embedded environments. The algorithms’ performance requirements often exceed the capabilities of traditional embedded systems with a homogeneous multicore architecture and, therefore, additional computing resources are introduced. The resulting embedded systems with heterogeneous computing architectures enable a next level of safe and secure real-time performance for innovative use cases in automotive applications such as domain controllers, e-mobility, and advanced driver assistance systems (ADAS). However, the
One of the most significant barriers to adoption of Model-Based Systems Engineering (MBSE) (Ref. 1) and the Modular Open System Approach (MOSA) (Ref. 2) is a cost-effective and commonly understood process that combines the best of both. Such a process must earn its way as a replacement for traditional processes used for the development of embedded software. Most, if not all, developers of embedded flight software have development processes that have evolved over many years. This creates a situation in which the one-time expense of conversion to a new process can be cost prohibitive. As such, adoption of MBSE has been limited and compliance with the intent of MOSA statutory and regulatory requirements has been mainly conformance to an open standard. Systems can be built that are modular but not open. Modularity can be a desirable design objective for quality systems engineering (such as the separation of concerns or encapsulation of functionality) apart from the open systems qualities
This standard specifies the communications hardware and software requirements for fueling hydrogen surface vehicles (HSV), such as fuel cell vehicles, but may also be used where appropriate, with heavy-duty vehicles (e.g., busses) and industrial trucks (e.g., forklifts) with compressed hydrogen storage. It contains a description of the communications hardware and communications protocol that may be used to refuel the HSV. The intent of this standard is to enable harmonized development and implementation of the hydrogen fueling interfaces. This standard is intended to be used in conjunction with the hydrogen fueling protocols in SAE J2601 and nozzles and receptacles conforming with SAE J2600.
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